Foundations Of Research
James A. Anderson and Edward Rosenfeld, editors
MIT Press; Cambridge; 729 pages; $55
Brain science, neural computation and traditional artificial intelligence, perhaps more than most fields, seem to lack definitive textbooks. Instead they give rise to classic papers or multiauthored compendia such as this volume, which fits in squarely with other such important multiauthored landmark works as Principles of Neural Science, Handbook of Artificial Intelligence, 1986’s Parallel Distributed Processing, and the Morgan Kaufmann Readings in ... series.
In this volume, Anderson and Rosenfeld have achieved three major and difficult goals brilliantly. First, they have endeavored to bring together in one place most of the “must-read” papers which truly are “foundations of research,” and perhaps more important, of current and future practice.
A second major goal in a historical collection such as this is to give some idea of the development and intermingling of different lines of...